File size: 897 Bytes
7f86f47 388e1a3 7f86f47 388e1a3 7f86f47 388e1a3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 |
---
tags:
- fastai
---
# Model card
## Model description
A neural network model trained with fastai and timm to classify 400 bird species in an image.
## Intended uses & limitations
This bird classifier is used to predict bird species in a given image. The Image fed should have only one bird. This is a multi-class classification which will output a class even if there is no bird in the image.
## Training and evaluation data
Pre-trained model used is Efficient net from timm library, specifically *efficientnet_b3a*. The dataset trained is from Kaggle [BIRDS 400 - SPECIES IMAGE CLASSIFICATION](https://www.kaggle.com/datasets/gpiosenka/100-bird-species). Evaluation accuracy score on the given test set from Kaggle is 99.4%. Please note this is likely not representative of real world performance, as mentioned by dataset provider that the test set is hand picked as the best images.
|